Generative AI

What is Generative AI?

Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos. Generative AI processes vast content, creating insights and answers via text, images, and user-friendly formats.

Generative AI is powered by foundation models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, Q&A, classification, and more. Plus, with minimal training required, foundation models can be adapted for targeted use cases with very little example data.

Two additional recent advances that will be discussed in more detail below have played a critical part in generative AI going mainstream:

Transformers and the breakthrough language models they enabled.??Transformers are a type of machine learning that made it possible for researchers to train ever-larger models without having to label all of the data in advance. New models could thus be trained on billions of pages of text, resulting in answers with more depth. In addition, transformers unlocked a new notion called attention that enabled models to track the connections between words across pages, chapters and books rather than just in individual sentences.

And not just words: Transformers could also use their ability to track connections to analyze code, proteins, chemicals and DNA.

Generative AI works by using an ML model to learn the patterns and relationships in a dataset of human-created content. It then uses the learned patterns to generate new content.

The most common way to train a generative AI model is to use supervised learning - the model is given a set of human-created content and corresponding labels. It then learns to generate content that is similar to the human-created content and labeled with the same labels.

Generative AI can be used to:

- Improve customer interactions through enhanced chat and search experiences

- Explore vast amounts of unstructured data through conversational interfaces and summarizations

- Assist with repetitive tasks like replying to requests for proposals (RFPs), localizing marketing content in five languages, and checking customer contracts for compliance, and more

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Some of the Google Generative AI:

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1. Google AI Studio: Empowering developers to build with Gemini.Google AI Studio enables developers to seamlessly integrate Gemini models with an easy and safe API, quickly develop prompts, and transform ideas into code to build generative AI applications.
2. Studio Bot: Introducing Studio Bot, an AI-powered coding assistant that can help Android developers be more productive.Developers can ask questions about Android development, get help fixing code errors, and receive code snippets — all without ever having to leave Android Studio. Studio Bot is in its very early days, and we’re training it to become even better at answering your questions and helping you learn best practices.
3. Firebase: Quickly and easily add AI features to your apps with Firebase.Firebase is Google's app development platform that brings together tools and backend services in one place. Firebase Extensions are pre-packaged serverless solutions that let you quickly add new capabilities to your web and mobile applications. With Firebase Extensions, you can easily use the Gemini API to build features in your apps.